04:00
2026-09-07
arxiv.org
artificial-intelligence
Quantum-Assisted Memory-Efficient Training for Parameter-Intensive Wi-Fi-Based Human Activity Recognition
Researchers proposed Q-MET, a quantum-assisted memory-efficient training framework for Wi-Fi-based human activity recognition, achieving a 90% to 95% reduction in trainable parameters compared to conv…